Comparison between Atmospheric Reanalysis Models ERA5 and ERA-Interim at the North Antarctic Peninsula Region

Hillebrand, Fernando Luis; Bremer, Ulisses Franz; Arigony-Neto, Jorge; Rosa, Cristiano Niederauer da; Júnior, Cláudio Wilson Mendes; Costi, Juliana; Freitas, Marcos Wellausen Dias de; Schardong, Frederico

doi:10.1080/24694452.2020.1807308

Cited by 13 publications

(6 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, 2 metre monthly temperature and precipitation from each reanalysis were validated against surface observations at different high-altitude sites in the central Andes. In other glacial regions such as the Antarctic Peninsula, the performance of surface ERA5 and ERA-Interim parameters were evaluated by comparing different variables with insitu observations (Hillebrand et al 2020;Tetzner et al 2019). These works concluded that ERA5 showed good skills in representing monthly temperature over glaciers.…”

Section: Introductionmentioning

confidence: 99%

“…The root mean square error (RMSE) is recommended for statistical analyses that combine errors with low correlation, high bias, and normal distribution(Bromwich and Fogt 2004), but this metric is sensitive to extreme values. The mean absolute error (MAE) indicates the average performance attributing the same weight to all errors and it tends to present values lower than that verified by the RMSE(Hillebrand et al 2020).…”

mentioning

confidence: 95%

See 1 more Smart Citation

Validation of ERA5-Land temperature and relative humidity on four Peruvian glaciers using on-glacier observations

et al. 2022

View full text Add to dashboard Cite

Weather and climate conditions drive the evolution of tropical glaciers which play an important role as water reservoirs for Peruvian inhabitants in the arid coast and semi-arid Andean region. The scarcity of long-term high-quality observations over Peruvian glaciers has motivated the extensive use of reanalysis data to describe the climatic evolution of these glaciers. However, the representativeness and uncertainties of these reanalysis products over these glaciers are still poorly constrained. This study evaluates the ability of the ERA5-Land reanalysis (ERA5L) to reproduce hourly and monthly 2 m air temperature and relative humidity (T2m and Rh2m, respectively) over several Peruvian glaciers. We compared the ERA5L with data from four on-glacier automatic weather stations (AWS), whose hourly time series were completed with nearby stations, for the period January 2017 to December 2019. Results indicates a better performance of the reanalysis for T2m (r >0.80) than for Rh2m (∼0.4< r <∼0.6) in all four glaciers. Concerning the observations, both parameters show a daily cycle influenced by the presence of the glacier. This influence is more prominent during the dry months when the so-called glacier damping and cooling effects are stronger. On a monthly time scale, the ERA5L validation for both parameters are better in wet outer tropical sites (RMSE between ±0.2°C for T2m and between 3%–7% for Rh2m) rather than in dry outer tropical sites (RMSE between ±0.2°C for T2m and between 3%–7% for Rh2m). Among all sites considered in the study, the Rh2m bias is the highest in the Cavalca glacier (correlation of 0.81; RMSE 13%, MAE 11% and bias 8.3%) and the lowest in Artesonraju glacier (correlation of 0.96; RMSE 3%; MAE 2.3% and bias — 0.8%). Based on certain considerations outlined in this paper, it is appropriate to use ERA5L to characterize T2m and Rh2m conditions on Peruvian glaciers, particularly in the wet outer tropics.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 95%

Validation of ERA5-Land temperature and relative humidity on four Peruvian glaciers using on-glacier observations

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, precipitation fields show low correlations and large RMSE with observations. Several studies indicated that both reanalysis products and regional models (e.g., ERA5 and RACMO) adequately capture temperature but have a poor representation of precipitation, showing strong overestimates over the Antarctic continent (e.g., Gossart et al 2019, Tetzner et al 2019, Hillebrand et al 2021). Interestingly, from 2006 onwards, the annual precipitation anomalies show good agreement with observations (see Fig.…”

Section: Discussionmentioning

confidence: 99%

“…ERA5 is a global intermediate spatial resolution atmospheric and oceanic dataset available for the entire globe at ~31 km horizontal resolution (Hersbach et al, 2020). Several studies indicated that the ERA5 dataset provides the most accurate depiction of the recent Antarctic climate (e.g., Gossart et al 2019, Tetzner et al 2019, Bozkurt et al 2020, Hillebrand et al 2021. RACMO is a regional climate model providing high spatial resolution (5.5 km) of atmospheric and glaciological datasets for the entire AP from 1979 to the present (Van Wessem et al 2016) (https://www.projects.…”

Section: Climatological In-situ Observations and Modellingmentioning

confidence: 99%

Large-scale and regional climatic influences on surface temperature and precipitation in the South Shetland Islands, northern Antarctic Peninsula

TORRES,

BOZKURT,

ARIGONY-NETO

2023

An. Acad. Bras. Ciênc.

View full text Add to dashboard Cite

Using data from SCAR observations, ERA5 reanalysis, and regional climate model simulations (RACMO), we examined the influence of large-and regional-scale climate forcing on temperature and precipitation variations in the South Shetland Islands (SSI). Specifically, we focused on understanding how regional climate indices influence the temporal variability of temperature and precipitation on the SSI. Our findings indicate that both large-and regional-scale climate indices significantly impact the interannual and seasonal temperature variability in the SSI. For instance, the Amundsen Sea Low, characterised by low-pressure systems over the Amundsen Sea, and sea ice extent in the northwestern part of the Weddell Sea, exert a strong influence on temperature variability (r from -0.64 to -0.87; p < 0.05). In contrast, precipitation variability in this region is primarily controlled by regional climatic indices. Particularly, anomalies in atmospheric and surface pressure over the Drake Passage region strongly regulate the interannual variability of precipitation in the SSI (r from -0.46 to -0.70; p < 0.05). Large-scale climatic indices demonstrate low but statistically significant correlations, including the Southern Annular Mode and deep convection in the central tropical Pacific. Given the importance of temperature and precipitation in the glacier changes, we recommend assessing the impact of the Drake region on SSI glaciers.

show abstract

“…The least squares method is 370 a mathematical optimization technique, which uses the least square sum of residuals as the estimation standard for the best matching function. It is usually used in statistical models and is by far the most applicable and widely used parameter estimation method (Qiu and Jiang, 2021;Ge, 2015;Floyd and Braddock, 1984). Finally, Hmax and Hmin values were substituted into the derivation formula to obtain Tmax and Tmin as preliminary results for subsequent correction and 375 analysis.…”

Comparison between Atmospheric Reanalysis Models ERA5 and ERA-Interim at the North Antarctic Peninsula Region

Cited by 13 publications

References 33 publications

Validation of ERA5-Land temperature and relative humidity on four Peruvian glaciers using on-glacier observations

Validation of ERA5-Land temperature and relative humidity on four Peruvian glaciers using on-glacier observations

Large-scale and regional climatic influences on surface temperature and precipitation in the South Shetland Islands, northern Antarctic Peninsula

Comment on essd-2021-309

Contact Info

Product

Resources

About